AI & GenAI Data Scientist, Senior Manager

PWC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYTampa, FLAtlanta, GAChicago, ILDallas, TXLos Angeles, CADenver, COBoston, MAFlorham Park, NJSan Diego, CASan Francisco, CAPhiladelphia, PASeattle, WAHouston, TX
Salary
$124,000–$280,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $202k
$105k $299k
below market most similar roles pay here above market

This role pays more than 61% of similar roles. Most pay $162,000–$223,750 — the blue band above. At the midpoint, this role pays about $202k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 108 open roles on FindRole.

Listed pay typically runs $99,000–$252,450 across 104 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · AI & GenAI Data Scientist, Senior Manager

As an AI & GenAI Data Scientist – Senior Manager within the Data and Analytics Engineering practice, you will lead large workstreams to solve complex business problems through data-driven decisions. You will be responsible for translating business questions into analytic approaches, developing machine learning, deep learning, and natural language processing models, and designing data science workflows that connect data engineering with model development. Your daily work involves applying statistical analysis, predictive modeling, and rapid experimentation to structured and unstructured data to generate actionable insights. You will build and refine data models, pipelines, and analytical assets while ensuring the responsible use of AI through governance considerations. Key skills include data visualization, coaching teams through ambiguity, and crafting executive-ready narratives from technical outputs to support strategy and operational improvement.

What you'll do

  • Lead AI and GenAI data science workstreams for client engagements and translate business questions into analytic approaches.
  • Develop machine learning, deep learning, and natural language processing models to address complex business problems.
  • Apply statistical analysis, predictive modeling, and rapid experimentation to generate actionable insights from structured and unstructured data.
  • Design data science workflows that connect data engineering, data quality, and model development activities.
  • Build and refine data models, data pipelines, and analytical assets that support scalable solution delivery.
  • Evaluate model performance, test assumptions, and adjust approaches based on findings and client feedback.
  • Communicate analytic results through clear narratives, visualizations, and technical recommendations for diverse stakeholders.
  • Contribute to the responsible use of AI by applying professional standards and governance considerations in delivery.

What we're looking for

  • At least a Bachelor's degree.
  • At least 7 years of experience.
  • Preference for a degree in Accounting, Analytics, AI, Business, Computer Science, Engineering, Math, or related fields (preferred).
  • Experience leading AI and GenAI data science workstreams across client-facing programs (preferred).
  • Experience applying machine learning, deep learning, and NLP in complex solutions (preferred).
  • Ability to craft executive-ready narratives from analytics and model outputs (preferred).
  • Ability to coach diverse teams through ambiguity and changing priorities (preferred).
  • Ability to travel up to 80% of the time.

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